Transforming industries with conversational AI: Partner solutions built on Databricks Genie

Transforming industries with conversational AI: Partner solutions built on Databricks Genie | Databricks Blog

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Innovative partner solutions built on Databricks Genie by leading consulting and SI partners.

Supports industry-specific use cases across financial services, healthcare, retail, CPG, travel and hospitality, manufacturing, and media and communications sectors and public sector.

Features ready-to-deploy offerings leveraging Databricks Genie to accelerate enterprise AI transformation.

In the era of data intelligence, the value of information is only as good as its accessibility. For most organizations, the ‘Analyst Bottleneck’ - where business leaders wait days for custom SQL queries or dashboard updates - remains a major hurdle to real-time decision-making. Databricks Genie is designed to eliminate this friction by providing a conversational analytics layer that allows every user to literally talk with their data. By leveraging an ensemble of specialized AI agents, Genie continuously learns your unique business semantics and metadata in Unity Catalog, providing governed, secure, and trustworthy answers to even the most complex natural language questions.

Databricks consulting and SI partners are taking this innovation a step further by building industry-specific solutions on top of Genie. These solutions combine deep domain expertise with the power of the Databricks Data Intelligence Platform to solve sector-specific challenges - from improving supply chain resilience, enhancing risk monitoring to streamlining clinical trial management. This blog showcases the first cohort of these Partner Industry Solutions, each designed to turn raw data into a primary competitive advantage through the magic of conversational AI.

This blog showcases innovative partner solutions built on Databricks Genie across six industry categories:

Communications, Media and Entertainment

Financial Services

Healthcare and Life Sciences

Manufacturing & Energy

Public Sector

Retail, Consumer Goods, Travel & Hospitality

Communications, Media and Entertainment

Blueprint Technologies Telco Churn and Next Best Action: Telco retention teams can now ask their subscriber data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's Telco Churn + NBA accelerator pairs a churn-propensity model with a Genie agent that explains why a customer segment is at risk and recommends three categories of next-best action: a marketing campaign, a targeted outreach play, and a network infrastructure investment. Marketing, lifecycle, and business strategy teams across residential and business retention shift from monthly batch reports to on-demand conversational analysis, with every recommendation traced back to its underlying data.

Entrada Customer Billing Accelerator: Entrada's Customer Billing Accelerator unifies diverse billing data - invoices, revenue streams, anomalies, operational signals - into a governed view across finance and operations teams. This accelerator deploys AI agents that continuously monitor billing performance, detect anomalies, and automate end-to-end investigation workflows. Built-in Unity Catalog governance and Serverless SQL ensure secure, scalable, enterprise-grade analytics. Leveraging Agent Bricks for automated agent orchestration and Genie for conversational analytics, the platform enables finance teams to query billing performance in plain language, investigate revenue issues, and replace static dashboards with actionable financial insights. Read this blog to learn more.

Lovelytics Audiencelytics (CME): Audiencelytics is a sophisticated audience intelligence solution developed by Lovelytics in partnership with Locality to revolutionize local advertising. By leveraging the Databricks Data Intelligence Platform, it unifies fragmented viewership data into a single, actionable asset for brands. The platform utilizes generative AI and automation to streamline campaign planning, marketing activation, and outcome measurement across both linear and streaming channels. This centralized approach eliminates siloed workflows and reliance on expensive third-party processors, significantly reducing operational costs. Ultimately, Audiencelytics empowers advertisers with precise targeting and real-time insights, ensuring local media campaigns are both highly scalable and consistently effective. Check out this demo and read this customer story to learn more.

Churnlytics (CME): Churnlytics is an advanced predictive analytics solution developed by Lovelytics to help organizations in the communications, media, and entertainment sectors combat customer attrition. Built on the Databricks Data Intelligence Platform, it integrates disparate data sources—such as usage patterns, billing history, and customer interactions—to create a unified view of subscriber behavior. By applying machine learning models, Churnlytics identifies "at-risk" customers before they leave, allowing businesses to launch proactive, personalized retention campaigns. This data-driven approach shifts companies from reactive responses to strategic prevention, ultimately protecting recurring revenue and increasing long-term customer lifetime value through actionable, real-time intelligence. Check out this demo to learn more.

Wipro Wipro Telecom Sales and Marketing Accelerator: This solution targets the Telecom Small & Medium Business (SMB) segment by re-engineering the complete Customer Lifecycle—from Prospecting and Conversion to Selling, Onboarding, Installation, Service, and continuous Cross-sell/Upsell. The Wipro Agentic AI solution, powered by Lakebase and Genie, enables intelligent, context-aware decisioning across Sales, Marketing, Customer Service and Revenue Management. By unifying Customer 360 intelligence, propensity-driven insights, dynamic pricing, real-time recommendations and zero-touch fulfilment, telcos can deliver B2C-like simplicity while ensuring B2B regulatory compliance - driving faster deal closures, higher Average Revenue Per User (ARPU), reduced churn and sustainable global growth of the SMB business.

Financial Services

Bitwise Global Customer 360 & Churn Analysis: Bitwise offers an intelligent Customer 360 solution for BFSI built on the Databricks Data Intelligence Platform and Genie, helping organizations unify fragmented customer data across core banking, CRM, transactions, and digital channels. The solution enables a single, trusted customer view, predictive analytics, and conversational insights for business users. Leveraging pre-built Customer 360 models, machine learning, and governed data pipelines, Bitwise helps financial institutions improve customer engagement, predict churn, enable next-best actions, strengthen risk monitoring, and accelerate cross-sell opportunities. Through Databricks Genie, users can access real-time insights using natural language queries, enabling faster, data-driven, and personalized customer decision-making at scale. Read this blog to learn more.

Capgemini KYC + pKYC industry accelerator: Capgemini’s KYC + pKYC accelerator is a domain-driven, agentic-powered solution designed to transform KYC and pKYC processes. By leveraging deep domain expertise and data-driven automation alongside conversational AI, the accelerator streamlines client onboarding, continuous monitoring, and periodic recertification. It establishes a unified KYC Data Foundation on a Lakehouse architecture, incorporating policy-and regulation-aware reasoning. The solution features robust security and governance, utilizing Delta Lake, Unity Catalog, and comprehensive audit trails. In this solution, Databricks Genie serves as the conversational AI layer, empowering client advisors, and compliance teams to access a holistic, single source of truth for KYC data from diverse systems and external data sources using natural language to derive meaningful insights. Overall, this accelerator markedly reduces manual effort, accelerates onboarding timelines, enhances explainability and auditability, and delivers a scalable, future-ready framework for intelligent KYC and pKYC operations.

Datasentics Reimagining actuarial work with Databricks Genie: Insurance is the original data business – they were doing analytics and ML before it was cool. And yet, actuarial teams are currently only lightly penetrated by AI and often rely on Excel calculations, static dashboards and manual reporting en masse. Databricks and especially Genie has the potential to change this and help actuarial practice move into the age of AI. Conversational interface, deep understanding of data and enterprise grade governance is the winning recipe for practical AI in insurance. For insurers, this means shrinking the time between data and decisions. Genie not only reduces manual effort in actuarial teams, but also turns faster access to data into faster and better-informed decisions across the business. Therefore, Datasentics has developed insurance-specific Genie solutions for Solvency II capital requirements, pricing, and claims handling, and is moving its client onto the Databricks platform.

Entrada Mortgage Intelligence Platform: Entrada's Mortgage Intelligence Platform unifies internal pipelines, Cotality property intelligence, competitive signals, and geospatial context into an actionable view. AI-native insights reveal hidden opportunities and risks, empowering loan, underwriting, and risk teams. Built-in agent orchestration and Lakebase audit trails ensure every recommendation is transparent, reviewable, and fully compliance-ready. Leveraging Genie's conversational analytics and Agent Bricks orchestration, the platform enables organizations to query insights in plain language, assemble complete intelligence dossiers, and act decisively on retention and origination opportunities. Read this blog to learn more.

Exponentia.ai WealthXponent: Built on client portfolio and market data, WealthXponent leverages Genie’s natural language querying capability, allowing users like relationship managers and advisors to ask questions in simple English and interact with data effortlessly. It uses auto SQL generation to automatically create and run queries in the backend, delivering instant insights and visualizations. Using Genie’s metadata and knowledge layer, it understands data relationships and business context to provide accurate, context-aware insights aligned with organizational data. The solution supports self-service analytics, allowing non-technical users to independently explore data resulting in enhanced advisory quality, improved portfolio management, and higher client engagement and retention. Check out this demo to learn more.

Fractal Analytics B2B Insurance Analytics & Data Platform Accelerator: This accelerator enables B2B insurance organizations to modernize enterprise analytics using Databricks AI/BI Genie on a governed lakehouse. Built on an Azure Databricks medallion architecture, the solution consolidates fragmented data estates and enables business users to explore trusted claims data using natural language. Databricks Genie converts plain‑English questions into SQL, executes them on curated lakehouse tables, and returns tables, text, or visual outputs. Unity Catalog provides centralized governance including access control, lineage, and data quality enforcement, while Power BI integrates for enterprise reporting via secure DirectQuery. The platform reduces dependency on specialist teams, supports migration of ETL and ML workloads, and establishes a scalable, compliant source of truth for insurance analytics. Read this blog to learn more.

Hexaware RiskGuard Genie is a Databricks AI/BI–powered unified analytics platform consolidating regulatory compliance, credit risk assessment, and audit intelligence through natural language. Compliance officers, credit analysts, and CFOs query complex risk data in plain English, eliminating SQL dependencies and manual work. The platform delivers three integrated domains - Compliance Sentinel (regulatory breach detection, BCBS 239 metrics), Credit Intelligence Navigator (AI-powered assessments, portfolio scoring), and Compliance Auditor (audit trails, tax exposure). Built on Databricks Lakehouse with Unity Catalog governance, RiskGuard enables self-service insights while maintaining auditability. It reduces compliance cycles from weeks to hours, accelerates credit decisions by 40–60%, and democratizes risk insights enterprise-wide. Read this blog to learn more.

IBM AI Research & Portfolio Insights: In markets where every basis point is contested, portfolio managers need insight that moves at the speed of volatility. AI Research & Portfolio Insights with Databricks Genie turns governed Lakehouse data into a conversational research cockpit: analysts can interrogate market signals, test liquidity shocks, compare exposures, and generate what-if narratives without waiting on a reporting queue. IBM IBV’s 2025 banking research found 63% of risk, compliance, and validation executives see AI stress-test simulations as vital for enterprise scaling, while 48% prioritize real-time risk controls. Genie makes that kind of always-on, trusted scenario intelligence usable directly in the investment workflow at institutional scale.

Claims & Underwriting Copilot: Claims and underwriting are where trust, margin, and regulatory scrutiny meet. A Claims & Underwriting Copilot on Genie + Lakebase gives adjusters and underwriters a real-time decision layer: unified policy, claims, third-party, and document data; automated extraction from FNOLs, medical records, estimates, and submissions; predictive risk scoring; and governed recommendations with human oversight. IBM IBV’s 2025 insurance research projects agentic AI use in claims will reach 77% by 2027, and AI investments have already reduced claims processing time by roughly 19%. Lakebase keeps decisions current; Genie makes them explainable, searchable, and actionable for teams at enterprise scale today across the insurance lifecycle.

Finance Data Control Tower: Finance leaders are being asked to forecast faster, defend capital, and explain volatility in language the board can act on. Finance Data Control Tower with Databricks Genie gives CFO teams a conversational command center across liquidity, capital, working capital, profitability, and forecast variance—turning governed Lakehouse data into natural-language answers, scenario drilldowns, and board-ready narratives. IBM IBV’s 2026 Dynamic Finance research found only 7% of finance organizations have operationalized AI-powered forecasting at enterprise scale, while only 8% operate with fully dynamic planning. Genie helps close that gap by making trusted insight as accessible as asking the next question in real time.

Impetus Impetus US Regulatory Compliance Solution Framework helps enterprises stay compliant by enabling compliance insights by continuously assessing SOX and PCI-DSS readiness using Databricks Unity Catalog and Genie. It ingests customer data into a governed Lakehouse and dynamically maps each customer’s terminology into a Canonical Silver Layer, creating a standardized compliance vocabulary reusable across industries and ERPs. A Gold layer provides audit-ready KPIs, exceptions, and fully traceable evidence, while a governed Semantic layer and Databricks Genie including guardrails delivers secure, policy-aligned compliance insights. The solution framework enables intelligent compliance insights, risk summaries, KPI’s, and evidence-based drilldowns. Read this blog to learn more.

Indicium Claims & Premium Intelligence enables insurance carriers to optimize pricing and risk management through AI-driven analysis of claims and premium data. Built on Databricks, the solution leverages governed data and Databricks Genie to provide real-time insights into loss drivers, pricing inefficiencies, and portfolio performance. Users can explore claims patterns, assess risk segments, and simulate pricing strategies through natural language interaction. The solution shifts decision-making from static reporting to continuous, data-driven optimization, improving loss ratios, accelerating underwriting decisions, and reducing pricing inefficiencies. It enables scalable AI adoption by transforming fragmented insurance data into an interactive, decision-ready intelligence layer.

LTM Money in Motion is a banking data accelerator that helps banks to understand transactional data and helps to retain and increase bank assets and liquidity. It analyzes transactions to identify customer leakage, uncover transaction intent, and distinguish between existing customers and prospects. Using advanced analytics, NLP,and AI-driven models, the solution enables payout analysis, forecasting, customer segmentation, and personalized product recommendations. Built on the Databricks Lakehouse with Mosaic AI, Unity Catalog, and governed dashboards, Money in Motion empowers business, sales, and marketing teams to take timely, data-driven actions to improve customer engagement, increasing bank assets and drafting customized bank products and retention strategies for clients.

Risk Sentinel is an agentic early warning system designed to detect, prioritize, and mitigate credit risk before slippage occurs. Traditional risk management systems generate alerts that often go unnoticed, delayed, or orphaned, creating alert fatigue and missed intervention opportunities. Risk Sentinel transforms this paradigm by converting weak signals into prioritized, evidence-backed risk cases that move beyond simple alerts to create owned, trackable interventions. The system reduces noise and delay while ensuring no alert is ignored, enabling financial institutions to shift from reactive monitoring to proactive risk mitigation. By correlating multiple data sources and applying intelligent agent-based analysis, Risk Sentinel bridges the gap between signal detection and actionable intervention, empowering risk teams to address potential issues before they escalate into financial losses.

Customer Centricity demonstrates how banks can operationalize customer centricity using Databricks Genie and Lakebase to drive measurable business outcomes. It unifies customer data across core banking, cards, transactions, service, and digital channels into a governed lakebase to create an action-ready customer profile. Genie enables personas such as Relationship Managers and Marketing Analysts to interact conversationally with customer insights, prioritize next best actions, and generate campaigns with data-backed rationale. A supervisor agent operationalizes outcomes by assigning customers, recommending products, and generating outreach scripts—helping banks increase wallet share, improve product mix, reduce churn, and enhance customer experience at scale. Read this blog to learn more.

Claim Analytics is a Databricks Lakehouse–based solution that enables insurers to move from reactive to predictive claims management. Using Databricks Auto Loader, structured and unstructured claim data—such as FNOL, policy details, payments, documents, images, and notes—is ingested in real time and processed through scalable job pipelines. Advanced analytics, machine learning, and GenAI generate predictive severity scores, fraud risk signals, and intelligent claim segmentation. Insights are delivered through AI/BI dashboards for self-service analysis, while agents provide AI-assisted summaries and decision support. This end-to-end platform improves claim efficiency, reduces losses, accelerates decisions, and enhances customer experience across the claim's lifecycle.

Automated Claim Notes transform the traditional manual, fragmented, and error-prone claims documentation process into a structured, intelligent workflow. In health insurance, claim notes are critical for tracking the claim lifecycle, compliance, fraud detection, and customer communication. By leveraging Databricks Lakehouse, Delta Live Tables, and Agent Bricks, insurers can standardize note generation, integrate data across FNOL, policy, and claims systems, and maintain auditable records. Automated notes improve operational efficiency, reduce turnaround time, ensure regulatory adherence, enhance fraud identification, and deliver timely, accurate updates—making claim notes a strategic enabler for compliant, customer-centric insurance operations.

Wipro Wealth AI: WealthAI is a comprehensive, AI-driven platform spanning the entire wealth management lifecycle—from enhancing financial advisor experiences and deepening client engagement to accelerating middle- and back-office operations. Built on a multi-agentic, scalable architecture leveraging Databricks Lakebase/Lakehouse, it enables real-time analytics, governed data access, and resilient orchestration of AI agents. WealthAI applies advanced marketing analytics, personalized product recommendations, and automation across trade surveillance, trade break analysis, and SAR processes. For financial advisors, it generates high-quality proposals, personalized market research, and advisory content. With Databricks Genie enabling conversational analytics and strong model and data governance, WealthAI improves efficiency, compliance, data quality, advisor productivity, and overall business excellence. Read this blog to learn more.

Zeb zeb Capital Markets Research Genie: A pre-built Genie space for buy-side and sell-side research teams, powered by Unity Catalog Business Semantics. It ships with certified Metric Views for portfolio composition, performance attribution, risk, exposure, and benchmark comparison plus pre-loaded Agent Metadata including LLM instructions, analyst-vocabulary synonyms, reference queries, and formatting standards. Research analysts and portfolio managers ask natural language questions like "decompose Q3 active return by sector" and receive certified, IC-grade answers in seconds. zeb's accelerator removes the 6-9 month semantic-layer build that typically blocks Genie adoption in capital markets, delivering value in a 4-6 week deployment.

Zensar Technologies Smart Claims Assistant is a production‑ready AI accelerator that helps insurers apply Databricks Genie to everyday claims decisions. It brings governed claims, policy, financial, and document data together so business users can ask natural‑language questions and get trusted, explainable answers in seconds. The solution reduces claim cycle time, lowers loss adjustment expense, and helps detect leakage earlier by eliminating time spent searching across systems. It supports adjusters, supervisors, SIU teams, operations leaders, and executives. Users interact conversationally - asking follow‑up questions, drilling into drivers, reviewing evidence, and simulating outcomes-without relying on analysts or dashboards. Read this blog and social post to learn more.

Healthcare and Life Sciences

CitiusTech Healthcare Insight Agents: Healthcare organizations struggle to generate timely, actionable insights amid growing operational complexity. Traditional analytics often take weeks to identify care gaps, uncover root causes of claim denials, or assess compliance risks—leading to delayed interventions, lost revenue, and increased regulatory exposure. These challenges are amplified by fragmented data and insights hidden in unstructured content such as clinical notes, policies, guidelines, and audit documents. CitiusTech’s Healthcare Insights Agent, powered by Databricks, addresses this gap by combining contextualized AI, governed enterprise data, and document intelligence, enabling Clinical, RCM, Quality, Audit, and Operations teams to ask natural-language questions across trusted data and documents without technical complexity. Read this blog to learn more.

Clinical Variance Reduction: CitiusTech’s Clinical Variation Reduction (CVR) solution enables healthcare organizations to systematically identify, analyze, and reduce unwarranted clinical variation across care delivery. Built on CitiusTech’s proven analytics and AI foundation and powered by Databricks, CVR combines governed enterprise data, contextualized AI, and evidence-based clinical knowledge to deliver a trusted, unified view of clinical, operational, and quality performance. Using advanced machine learning (clustering, outlier detection, causality analysis) and Databricks Genie natural-language queries, leaders can move quickly from insight to action, improving care consistency, outcomes, and cost and quality performance at scale. Read this blog to learn more.

Perform+ ClinicalIQ Agent: CitiusTech Perform+ is a Databricks-native, Brickbuilder-certified platform that helps U.S. payers and providers accelerate quality and value-based care—right inside their own Databricks environment, including FedRAMP-ready deployments. It unifies claims, clinical, utilization, financial, and SDOH data to deliver trusted, real-time insights that close care gaps, boost measure performance, and optimize costs. For instance, users can create a condition based cohort (diabetic hypertensives) and enable micro-network execution to impact outcomes. Powered by Delta Lake, Lakeflow Spark Declarative Pipelines, Unity Catalog governance, Lakehouse Federation/Delta Sharing, and Genie, Perform+ turns the full Databricks stack into measurable outcomes and faster ROI. Read this blog to learn more.

Cognizant StrandLogic is an autonomous scientist that never sleeps. It is a multi-agent conversational AI platform purpose-built for precision medicine and clinical genomics — and the only accelerator of its kind built natively on Databricks for multi-omics clinical research. Powered by Databricks Genie, it enables life sciences researchers and scientists to pose natural language questions directly over multimodal, multi-omics datasets, replacing static dashboards with an autonomous, agentic research analyst. The solution generates on-demand insights including survival analyses, biomarker discovery, adverse event quantification, and drug target identification, with publication-ready visualizations — all without writing a single line of SQL or code. Read this blog to learn more.

EPAM Revenue Growth Management Intelligence: Revenue teams in CPG and HLS lose days every cycle pulling pricing, promotion, and trade-spend data across fragmented systems, then waiting on BI teams for answers. EPAM's Revenue Growth Management Intelligence accelerator turns that workflow conversational. Built on Databricks Genie with Unity Catalog governing the underlying commercial data, it lets revenue managers ask natural-language questions about pricing performance, promotion ROI, and trade-spend effectiveness; and get governed, citation-backed answers in seconds. The accelerator includes pre-built Genie spaces, semantic instructions, and KPI definitions tuned for commercial analytics. The solution is deployed with a global leader in dairy nutrition, and with a top-five global biopharma company, to compress decision cycles from days to minutes.

Hoonartek Pharma Operations – AI-Powered Exception Intelligence: In regulated environments, monitoring and responding to operational exceptions is critical. Using Genie with governed datasets through Pharma Operations solution helps monitor metrics like batch yield, deviations, CAPA, OOS/OOT, detect anomalies and explain underlying drivers, and generate structured, audit-ready summaries. This helps drive outcomes like faster issue detection, improved compliance, and reduced manual monitoring.

Koantek Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10–15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100–500 users with reversible onboarding. The accelerator has been deployed at customers across semiconductor, professional services, life sciences, and manufacturing. Read this blog to learn more.

Tiger Analytics Conversational BI for Healthcare: In the rapidly evolving healthcare landscape, a major player in the healthcare industry encountered significant performance limitations and reporting bottlenecks while utilizing Power BI across diverse and intricate data sources. Addressing these challenges, the implementation of optimized Genie spaces through Agent Bricks led to the delivery of highly accurate conversational analytics. This advancement not only accelerated the time-to-insight but also fostered greater user adoption, ultimately enhancing decision-making processes within the organization. As a result, the company positioned itself to navigate data complexities with agility and efficiency, paving the way for improved healthcare outcomes.

Manufacturing & Energy

CGI Call Center Analytics AI: CGI and Databricks are helping a leading US utility unlock the full value of customer conversations by turning call center data into real-time, enterprise-wide insight. By combining the Databricks Lakehouse Platform with AI-driven transcription, enrichment and natural language analytics using Genie, the solution enables teams to analyze every interaction, uncover emerging issues faster and act with confidence. Business users can explore trends, identify root causes and improve customer experience without relying on technical teams. The result is a scalable, secure and governed approach that transforms contact centers from operational cost centers into strategic insight engines that drive smarter decisions and measurable business impact. Read this blog to learn more.

Advanced Metering Infrastructure (AMI) Intelligence Hub (AIH): CGI and Databricks are helping a leading U.S. utility unlock the full value of advanced metering infrastructure data to drive smarter grid operations. By modernizing its data and AI foundation on the Databricks Lakehouse Platform, the utility transformed fragmented, hard to access data into real time, actionable insight. With intuitive, natural language analytics using Genie and scalable processing, teams across operations can now detect issues earlier, improve forecasting and respond faster to changing conditions. The result is a more proactive, data driven approach that enhances reliability, strengthens performance and positions the organization to accelerate innovation across the evolving energy landscape. Read this blog to learn more.

IBM Drone Operations Control Plane is a map-first operations platform that unifies assets, work orders, drone imagery, and environmental data into a single, trusted view of infrastructure health. Built on Databricks Lakebase, it ingests and refines SCADA, EAM/CMMS, weather, and media data to power risk scoring, vegetation analysis, and predictive insights. Automated image classification links drone photos directly to assets and work orders, eliminating manual processes and enabling anomaly detection and maintenance prioritization. By surfacing vegetation encroachment and asset risks proactively, the solution improves inspection traceability, accelerates triage, optimizes resource planning, reduces outages, and enhances safety, compliance, and grid resilience.

Grid &Load Forecasting Agent delivers a scalable utility-grade analytics solution that connects smart meter data to individual transformers, enabling precise visibility into localized demand and asset health. By integrating AMI, weather, GIS, connectivity, and customer data, it powers predictive load forecasting across seasons and conditions, highlighting overload risks before failures occur. Through Databricks Genie, users access conversational insights to explore what-if scenarios for outages, EV adoption, and distributed energy resources. The solution automates manual processes, surfaces emerging risks, and enables proactive planning to optimize distribution, improve reliability, and reduce operational uncertainty across the grid and future performance insights.

Jarvis Consulting Jarvis Insights Accelerator: Finance-Grade AI Analytics on Databricks Genie Energy finance teams still wait days for answers their data already has. The Jarvis Insights Accelerator, built on Databricks, is a finance-grade data architecture and AI analytics layer that lets these teams have real-time natural language conversations with trusted insights. It connects fragmented source systems such as SAP, PI System, and ETRM into a single governed model on Databricks Unity Catalog, with Databricks Genie pre-configured to understand their business, their terminology, and their data. First domain is live in 4 to 6 weeks, fully managed or co-delivered. CFOs make capital decisions before the window closes, and every number is defensible.

Koantek Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10–15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100–500 users with reversible onboarding. The accelerator has been deployed at customers across semiconductor, professional services, life sciences, and manufacturing. Read this blog to learn more.

Lovelytics Gridlytics: Lovelytics Gridlytics AI accelerator combines environment and asset performance data with the power of the Databricks Lakehouse and AI models to enable proactive risk assessment and ensure system resilience. Gridlytics AI, developed by Lovelytics in partnership with Databricks, is a purpose-built accelerator designed to modernize utility grid operations. By unifying siloed data—including environmental signals, asset performance, and field metrics—into a single "pane of glass" on a governed lakehouse architecture, it enables proactive risk assessment and faster decision-making. The solution leverages GenAI and predictive analytics to automate manual workflows, simulate outage scenarios, and provide natural language querying. Key benefits include up to 30% efficiency gains and 20% productivity boosts, helping utilities transition from reactive maintenance to a resilient, data-driven strategy for modern energy demands. Watch this demo to learn more.

Dronelytics: Dronelytics is an end-to-end aerial intelligence accelerator built on the Databricks Data Intelligence Platform. It automates the ingestion and processing of drone imagery to streamline asset health inspections across transmission, distribution, and renewables. By utilizing Agentic AI and computer vision, the solution identifies critical defects—such as turbine cracks and damaged insulators—with up to 40% faster identification rates. The platform unifies siloed drone data into a secure "single pane of glass" via Unity Catalog, enabling predictive maintenance and prioritized scheduling. This centralized architecture reduces manual effort and redundant field operations, delivering an estimated $750k–$900k in annual labor efficiency gains per asset type. Watch this demo to learn more.

Veglytics: Veglytics is an end-to-end vegetation management solution built on Databricks Apps and powered by Lakebase. It accelerates time-to-value by utilizing a purpose-built data model and automated pipelines that integrate LiDAR, aerial imagery, and asset data to generate high-resolution risk insights. The platform enhances visibility through unified dashboards and high-performance 3D LiDAR visualizations, allowing utilities to move from reactive to proactive maintenance. By incorporating AI-assisted planning and integrated crew workflows, Veglytics significantly increases operational efficiency. This enables faster work order generation and targeted tree-trimming, ultimately reducing wildfire risks, ensuring regulatory compliance, and optimizing multi-million dollar annual O&M expenditures. Watch this demo to learn more.

Meteolytics: Meteolytics is a high-performance analytics solution designed to transform complex meteorological data into actionable business intelligence. Built on the Databricks platform, it unifies disparate weather sources to provide energy and utility companies with predictive insights into supply, demand, and climate impacts. The tool features geospatial mapping, automated alerting, and scenario simulations to safeguard infrastructure and optimize renewable energy grids. By integrating real-time weather feeds with operational data, Meteolytics AI helps organizations reduce O&M expenses and achieve up to 30% time savings for meteorologists through streamlined, interactive visualizations. Watch this demo to learn more.

Windsights: Windsights is an AI-powered predictive maintenance accelerator built on the Databricks Data Intelligence Platform. By unifying high-frequency SCADA telemetry, meteorological data, and aerial imagery into a governed Lakehouse, it enables utilities to transition from reactive to proactive asset management. Utilizing custom deep learning models and LLMs, Windsights identifies complex failure patterns to predict component degradation before it occurs. This approach reduces turbine downtime by 35–50% and significantly lowers O&M costs through planned, condition-based interventions. Delivered via a user-friendly Databricks App, the solution optimizes fleet performance, improves technician safety, and extends the overall lifespan of wind assets. Watch this demo to learn more.

Energylytics: Energylytics is a unified, AI-powered intelligence platform developed by Lovelytics to modernize energy trading. Built on the Databricks Data Intelligence Platform, it centralizes disparate data—including market prices, weather patterns, and grid conditions—into a single source of truth. By replacing manual spreadsheets with real-time visibility and predictive analytics, the platform helps utilities optimize trading decisions and manage risk. Key features like Databricks Genie and Agent Bricks enable autonomous bid packaging and natural language queries, potentially delivering $20M–$80M in incremental margins while significantly improving operational efficiency for energy trading teams. Watch this demo and read this blog to learn more.

LTM On Time in Full (OTIF) Risk Predictor: OTIF Risk Predictive Agent adds a proactive intelligence layer on top of SAP execution to prevent late or short deliveries before they happen. It ingests and standardizes order, inventory, warehouse, and logistics signals into a governed lakehouse feature set, scores each order line for OTIF risk, and surfaces hotspots and today’s priority worklist in dashboards. A predictive agent explains root causes in plain language (inventory gaps, DC constraints, carrier/appointment issues, blocks, ASN/docs) and recommends next-best actions such as reallocation, pick/pack reprioritization, carrier swaps, or appointment recovery. Actions are logged, enabling re-scoring, auditability, and continuous learning to reduce penalties and cost-to-serve.

Public Sector

Blueprint Technologies Casework Anomaly Detection: Casework analysts, finance leads, and program executives can now ask their adjudication data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's Casework Anomaly Detection accelerator pairs a four-tier anomaly detection stack with a Genie